Instructions to use Gab-Chung/Berom_AI_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gab-Chung/Berom_AI_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gab-Chung/Berom_AI_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from Gab-Chung/Berom_AI_model: direct link, hf CLI and curl.
- Browser
- Download file 769 Bytes
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https://huggingface.co/Gab-Chung/Berom_AI_model/resolve/main/README.md
- Command line
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hf download hf://Gab-Chung/Berom_AI_model/README.md
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curl -L -o README.md https://huggingface.co/Gab-Chung/Berom_AI_model/resolve/main/README.md
769 Bytes
| base_model: unsloth/llama-3-8b-bnb-4bit | |
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - trl | |
| # Uploaded model | |
| - **Developed by:** Gab-Chung | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit | |
| This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| # Berom_AI | |
| Berom Language is one of the minor languages/tribes in central Nigeria that is under represented in the digital world. This AI chatbot is developed specially to bring the Berom language to light. This bot can teach Berom, tell you some history and facts about Berom, write in Berom and translate words and sentences between English and Berom | |